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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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organizational, quantitative analysis and writing skills are necessary. Candidates with a strong background in molecular virology, next-generation sequencing, Bayesian analysis, phylogenetic analysis, statistical
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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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research sites with the Principal Investigator. These activities will be targeted to publishing peer-reviewed journal articles, updating nitrogen fertilizer best management practices (BMPs) and assisting
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, communicate project needs, and provide regular updates on project progress to the lab group and Principal Investigator. -You will have joint responsibility for the organization and management of laboratories
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. The individual may be immediately post-degree or returning for additional training, updating, and retooling. Limited to fields for which post-degree training is necessary for career entry. Post-doctoral associates
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an ethically, scientifically, rigorous and timely manner. Continuously update safety records and procedures. Specific Study Management Duties: ● Maintain working knowledge of assigned protocol ● Perform
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Qualifications Required Ph.D. in Plant Breeding. Individual may be immediate post-degree or returning for additional training, updating, and/or retooling. Limited to fields for which post-degree training is